Jiangming Liu

958 total citations
18 papers, 329 citations indexed

About

Jiangming Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jiangming Liu has authored 18 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Jiangming Liu's work include Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (4 papers). Jiangming Liu is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (4 papers). Jiangming Liu collaborates with scholars based in United Kingdom, Singapore and China. Jiangming Liu's co-authors include Yue Zhang, Yue Zhang, Shay B. Cohen, Mirella Lapata, Qi Liu, Johan Bos, Jinan Xu, Yujie Zhang, Jin Wang and Kenji Araki and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and IEICE Transactions on Information and Systems.

In The Last Decade

Jiangming Liu

18 papers receiving 312 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiangming Liu United Kingdom 7 312 28 24 11 11 18 329
Hiroki Ouchi Japan 11 256 0.8× 28 1.0× 53 2.2× 8 0.7× 19 1.7× 35 279
Yassine Benajiba United States 9 328 1.1× 27 1.0× 31 1.3× 8 0.7× 19 1.7× 31 351
Naveen Arivazhagan United States 3 214 0.7× 55 2.0× 28 1.2× 9 0.8× 6 0.5× 4 249
Hėctor Martínez Alonso Denmark 10 336 1.1× 21 0.8× 23 1.0× 14 1.3× 4 0.4× 39 356
Diganta Saha India 8 307 1.0× 21 0.8× 28 1.2× 18 1.6× 8 0.7× 29 335
Qinghong Han China 4 152 0.5× 24 0.9× 17 0.7× 9 0.8× 5 0.5× 4 171
Kalpesh Krishna United States 8 155 0.5× 24 0.9× 22 0.9× 11 1.0× 5 0.5× 17 200
Yew Ken Chia Singapore 4 182 0.6× 15 0.5× 22 0.9× 4 0.4× 9 0.8× 12 200

Countries citing papers authored by Jiangming Liu

Since Specialization
Citations

This map shows the geographic impact of Jiangming Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jiangming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangming Liu more than expected).

Fields of papers citing papers by Jiangming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiangming Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jiangming Liu. The network helps show where Jiangming Liu may publish in the future.

Co-authorship network of co-authors of Jiangming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangming Liu. A scholar is included among the top collaborators of Jiangming Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiangming Liu. Jiangming Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Zhang, Zhao, et al.. (2024). Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. 4986–4996. 2 indexed citations
2.
Zhang, Sicheng, Guoshun Nan, Jiangming Liu, et al.. (2024). Uncovering what, why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly. 18793–18803. 6 indexed citations
3.
Liu, Jiangming, et al.. (2023). FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models. 8566–8577. 3 indexed citations
4.
Wang, Jianjun, et al.. (2022). Intelligent Fault Diagnosis of Transformer Based on Infrared Image and Mask RCNN. 1243–1247. 1 indexed citations
5.
Liu, Jiangming, Shay B. Cohen, & Mirella Lapata. (2021). Text Generation from Discourse Representation Structures. Edinburgh Research Explorer. 397–415. 5 indexed citations
6.
Liu, Jiangming, Shay B. Cohen, Mirella Lapata, & Johan Bos. (2021). Universal Discourse Representation Structure Parsing. Computational Linguistics. 1–32. 2 indexed citations
7.
Liu, Jiangming, Shay B. Cohen, & Mirella Lapata. (2020). Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing. 4547–4554. 3 indexed citations
8.
Liu, Jiangming, Shay B. Cohen, & Mirella Lapata. (2019). Discourse Representation Parsing for Sentences and Documents. 6248–6262. 14 indexed citations
9.
Liu, Jiangming, Shay B. Cohen, & Mirella Lapata. (2019). Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model. Edinburgh Research Explorer (University of Edinburgh). 13 indexed citations
10.
Liu, Qi, Yue Zhang, & Jiangming Liu. (2018). Learning Domain Representation for Multi-Domain Sentiment Classification. 26 indexed citations
11.
Liu, Jiangming, Shay B. Cohen, & Mirella Lapata. (2018). Discourse Representation Structure Parsing. Edinburgh Research Explorer. 429–439. 28 indexed citations
12.
Liu, Jiangming & Yue Zhang. (2017). Attention Modeling for Targeted Sentiment. 572–577. 159 indexed citations
13.
Liu, Jiangming & Yue Zhang. (2017). Shift-Reduce Constituent Parsing with Neural Lookahead Features. Transactions of the Association for Computational Linguistics. 5. 45–58. 25 indexed citations
14.
Liu, Jiangming & Yue Zhang. (2017). In-Order Transition-based Constituent Parsing. Transactions of the Association for Computational Linguistics. 5. 413–424. 33 indexed citations
15.
Xu, Jinan, Jiangming Liu, & Yujie Zhang. (2015). Word Similarity Computing Based on Hybrid Hierarchical Structure by HowNet. Journal of information science and engineering. 31(6). 2089–2101. 1 indexed citations
16.
Liu, Jiangming, et al.. (2015). A Hybrid Topic Model for Multi-Document Summarization. IEICE Transactions on Information and Systems. E98.D(5). 1089–1094. 2 indexed citations
17.
Liu, Jiangming & Yue Zhang. (2015). An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering. 369–378. 4 indexed citations
18.
Liu, Jiangming, Jinan Xu, & Yujie Zhang. (2013). An Approach of Hybrid Hierarchical Structure for Word Similarity Computing by HowNet. International Joint Conference on Natural Language Processing. 927–931. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026